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Public Acceptance of Government Information Systems: Evidence From the Popular Vote on an Electronic Identity (e-ID) in Switzerland Cover

Public Acceptance of Government Information Systems: Evidence From the Popular Vote on an Electronic Identity (e-ID) in Switzerland

Open Access
|Oct 2024

Figures & Tables

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Figure 1

Government information system acceptance model (GISAM).

Table 1

National results on the electronic identity compared to the sample results.

NATIONAL RESULTSSAMPLE RESULTS
per cent (N)per cent (N)
“Yes” votes36%36%
“No” votes64%64%
Total N2,762,6252,092

[i] Source: Own representation; data for the national results from the Swiss Confederation, Federal Chancellery.

Table 2

Voter acceptance determinants of electronic proof of identity.

DIMENSIONDETERMINANTSMODEL 1CI
MEANS.D.2.5%97.5%
Individual socio-demographic characteristicsConstant7.3985.163–5.94916.716
Age–0.0030.003–0.0080.004
Gender (ref. male)–0.1900.168–0.5190.140
Education level low (ref. medium)0.6040.3050.0031.199
Education level high (ref. medium)0.1240.185–0.2380.490
Individual competencies and valuesSubjective norms related to digitisation0.0640.063–0.0590.185
Digital literacy/Attitude towards digitisation–0.4590.063–0.562–0.337
Attitudes towards information system characteristicsPerceived risks–1.0530.118–1.282–0.823
Trust and political orientationTrust in government0.0260.046–0.0650.116
Trust in private businesses0.5060.0410.4280.588
Political orientation0.1600.0490.0640.256
Political interest–0.1250.133–0.3900.132
DIC:1007.298

[i] Notes: Dependent variable is the voting decision at the ballot (dichotomous variable “yes/no”). Models ran with MLwiN 3.02 through MCMC estimation. DIC = deviance information criterion. Bold: 95%-credible interval does not contain zero (systematic relationship). Logit-model; posterior mean, standard deviations (S.D.) and 95% credible interval of log odds, based on Bayesian estimation (100,000 iterations, burn-in: 500, thinning: 1).

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Figure 2

Attitude toward digitisation and probability of voting “yes”.

Note: Agreement on a scale between “digitisation networks society and simplifies life” (= 1) or “digitisation promotes anonymity and brings social problems” (= 6).

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Figure 3

Trust in private electronic identity providers and probability of voting “yes”.

Note: Self-rating trust in private providers of digital ID cards on a scale between no trust at all (=0) and complete trust (=10)

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Figure 4

Coding results for a link between reason to accept and e-ID.

Note: Bars represent percentages (N = 497).

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Figure 5

Coding results of reasons for accepting e-ID.

Note: Bars represent percentages. The question read: “What was the main reason you accepted the proposal for the Federal Act on Electronic Identification Services (e-ID Act)? (N = 497).

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Figure 6

Factors from the GISAM impacting the public acceptance of e-government applications.

Note: Factors that produced systematic results in the quantitative analysis are shown in white boxes and in bold font. Factors from the qualitative analysis are shown in white boxes and in regular font. Factors showing influences in both analyses are marked by +. No influence could be detected for the factors in grey boxes.

VARIABLEOPERATIONALISATIONSUMMARY STATISTICS
Voting decisionDummy:
0 = Accept proposal
1 = Reject proposal
Shares(N):
Yes: 36 (753)
No: 64 (1339)
(Total N: 2092)
Individual socio-demographic characteristicsAgeYear of birthAverage (SD):
1967 (17.3)
Minimum: 1939
Maximum: 2003
(Total N: 2092)
GenderDummy:
1 = Male
0 = Female
Shares(N):
Male:49.0 (1026)
Female: 50.3 (1052)
(Total N: 2078)
Education0 = Low level of education (no completed school education/primary school, compulsory school transitional education, general education without baccalaureate)
1 = Low level of education (no completed school education/primary school, compulsory school, transitional education, general education without baccalaureate)
2 = Medium level of education (Basic vocational training or apprenticeship, baccalaureate or teacher training seminar, post-secondary non-tertiary level, higher vocational training with federal certificate of proficiency, master craftsman diploma)
3 = High level of education (University of applied sciences, university, PhD, Habilitation)
Shares(N):
Low: 9.8 (206)
Medium: 59 (1234)
High: 27.8 (581)
(Total N: 2021)
Individual competencies and valuesDigital literacy/Attitude towards digitisationAgreement to a scale between “digitisation connects society and simplifies life (= 1) and digitisation promotes anonymity and brings social problems (= 6).”Average (SD):
3.26 (1.57)
Minimum: 1
Maximum: 6
(Total N: 1925)
Subjective norms towards digitisationAgreement to a scale between “Switzerland that goes with the spirit of the times (= 1) and a Switzerland that protects its traditions (= 6).”Average (SD):
3.20 (1.61)
Minimum: 1
Maximum: 6
(Total N: 2004)
Information system characteristicsPerceived risksAgreement on a scale between 1 (= not at all agree) and 4 (= fully agree) with the statement, “the use of the e-ID is recorded at a private company and stored centrally. This creates a potential for fraud.”Average (SD):
3.08 (0.86)
Minimum: 1
Maximum: 4
(Total N: 1846)
Trust and political orientationTrust in governmentSelf-rating trust in government on a scale between no trust at all (= 0) and complete trust (= 10)Average (SD):
6.95(2.22)
Minimum: 0
Maximum: 10
(Total N: 2041)
Trust in private businessesSelf-rating trust in private providers of digital ID cards on a scale between no trust at all (= 0) and complete trust (= 10)Average (SD):
3.34 (2.68)
Minimum: 0
Maximum: 10
(Total N: 1937)
Political interestSelf-rating political interest as an answer to the question “How interested are you in politics in general?” on a scale between not interested at all (= 1) and very interested (= 4).Average (SD):
3.03 (0.69)
Minimum: 0
Maximum: 4
(Total N: 2082)
Political orientationSelf-rating political orientation on a scale between far left (= 0) and far right (= 10)Average (SD):
4.56 (1.98)
Minimum: 0
Maximum: 10
(Total N: 1724)
ELIGIBLE TO VOTEVOTES RECEIVEDVOTER TURNOUTYES-VOTESNO-VOTESYES-VOTES (PER CENT)NO-VOTES (PER CENT)
5’496’8582’819’20151.29%984’5741’778’19635.6%64.4%
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DOI: https://doi.org/10.5334/ssas.202 | Journal eISSN: 2632-9255
Language: English
Submitted on: Apr 30, 2024
Accepted on: Oct 17, 2024
Published on: Oct 29, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Lyn Ellen Pleger, Katharina Guirguis, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.